/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #ifndef __OPENCV_MOTION_ESTIMATORS_HPP__ #define __OPENCV_MOTION_ESTIMATORS_HPP__ #include "precomp.hpp" #include "matchers.hpp" #include "util.hpp" struct CameraParams { CameraParams(); CameraParams(const CameraParams& other); const CameraParams& operator =(const CameraParams& other); double focal; // Focal length cv::Mat R; // Rotation cv::Mat t; // Translation }; class Estimator { public: void operator ()(const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras) { estimate(features, pairwise_matches, cameras); } protected: virtual void estimate(const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras) = 0; }; class HomographyBasedEstimator : public Estimator { public: HomographyBasedEstimator() : is_focals_estimated_(false) {} bool isFocalsEstimated() const { return is_focals_estimated_; } private: void estimate(const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras); bool is_focals_estimated_; }; class BundleAdjuster : public Estimator { public: enum { RAY_SPACE, FOCAL_RAY_SPACE }; BundleAdjuster(int cost_space = FOCAL_RAY_SPACE, float conf_thresh = 1.f) : cost_space_(cost_space), conf_thresh_(conf_thresh) {} private: void estimate(const std::vector &features, const std::vector &pairwise_matches, std::vector &cameras); void calcError(cv::Mat &err); void calcJacobian(); int num_images_; int total_num_matches_; const ImageFeatures *features_; const MatchesInfo *pairwise_matches_; cv::Mat cameras_; std::vector > edges_; int cost_space_; float conf_thresh_; cv::Mat err_, err1_, err2_; cv::Mat J_; }; void waveCorrect(std::vector &rmats); ////////////////////////////////////////////////////////////////////////////// // Auxiliary functions // Returns matches graph representation in DOT language std::string matchesGraphAsString(std::vector &pathes, std::vector &pairwise_matches, float conf_threshold); std::vector leaveBiggestComponent(std::vector &features, std::vector &pairwise_matches, float conf_threshold); void findMaxSpanningTree(int num_images, const std::vector &pairwise_matches, Graph &span_tree, std::vector ¢ers); #endif // __OPENCV_MOTION_ESTIMATORS_HPP__